Data Engineer

Data Engineer Hybrid (Pipersville, PA) 6 month Contract to Hire We are looking for a skilled Data Engineer to join our clients growing AI organization. This role will play a critical part in thier mission to harness data for advanced AI and Machine Learning applications. You will collaborate with data scientists, and business stakeholders to build and maintain robust data pipelines, ensuring our data architecture supports the full lifecycle of AI initiatives. This is an exciting opportunity to shape the data foundation of their AI and Machine Learning efforts, driving impactful insights and innovations. Responsibilities • Data Pipeline Development: Design, build, and optimize data pipelines to support AI and ML projects. Enable real-time and batch data processing to meet diverse business needs. • Data Integration and Management: Integrate data from various sources, including our ERP, SaaS platforms, and external APIs, to provide a unified data view for AI applications. • Data Quality Assurance: Implement processes to ensure data quality, consistency, and accuracy across systems, working closely with data governance standards. • Collaboration with Data Science and AI Teams: Partner with data scientists to understand data requirements for model development, deployment, and monitoring. • Performance Optimization: Monitor and improve data pipeline performance, optimizing ETL processes, storage, and query performance as needed. • Documentation and Best Practices: Develop and maintain documentation for data workflows and adhere to best practices for data engineering, including version control and testing. • Data Visualization: Create data visualizations using PowerBI. Qualifications • Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. • Minimum of 3 years of experience in data engineering, with proven experience in data pipeline development, data integration, and ETL processes. • Proficient in SQL, Python, and data warehousing solutions and experience with AWS services required. • Understanding of AI and ML concepts and familiarity with machine learning model lifecycle requirements. • Strong understanding of data governance, data architecture, and best practices for data management in a modern AI ecosystem. • Strong communication skills, capable of working cross-functionally with technical and non-technical stakeholders. • Experience in B2B ecommerce or apparel industry preferred. • Experience with data visualization tools and MLOps a plus.